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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Amplitude normalization applied to an artificial neural network-based automatic sleep spindle detection systemErrikos M Ventouras, Maria Panagi, Hara Tsekou, et al.
Computational Intelligence and Neuroscience|April 7, 2010
Independent component analysis for source localization of EEG sleep spindle componentsErricos M Ventouras, Periklis Y Ktonas, Hara Tsekou, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Performance evaluation of an Artificial Neural Network automatic spindle detection systemErrikos M Ventouras, Nicholas-Tiberio Economou, Ilia Kritikou, et al.
Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society|October 29, 2014
Sleep EEG and spindle characteristics after combination treatment with clozapine in drug-resistant schizophrenia: a pilot studyHara Tsekou, Elias Angelopoulos, Thomas Paparrigopoulos, et al.
Neuroscience|November 5, 2016
Discrete states of attention during active visual fixation revealed by Markovian analysis of the time series of intrusive saccadesAlexandra I Korda, Mariniki Koliaraki, Pantelis A Asvestas, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Independent components of sleep spindlesErrikos M Ventouras, Ioannis Alevizos, Periklis Y Ktonas, et al.
Computer Methods and Programs in Biomedicine|May 19, 2005
Sleep spindle detection using artificial neural networks trained with filtered time-domain EEG: a feasibility studyErrikos M Ventouras, Efstratia A Monoyiou, Periklis Y Ktonas, et al.
IEEE Transactions on Bio-Medical Engineering|April 11, 2006
Detection of pseudosinusoidal epileptic seizure segments in the neonatal EEG by cascading a rule-based algorithm with a neural networkNicolaos B Karayiannis, Amit Mukherjee, John R Glover, et al.
Neuroimage|November 15, 2011
Single-trial magnetoencephalography signals encoded as an unfolding decision processNikolaos Smyrnis, Dimitris S Mylonas, Roozbeh Rezaie, et al.
Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society|July 16, 2009
A multistage system for the automated detection of epileptic seizures in neonatal electroencephalographyJoyeeta Mitra, John R Glover, Periklis Y Ktonas, et al.
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